NDMD simulation: quantile regression plots
Exposure prevalence = 0.1 | Risk in unexposed = 0.01
True RR = 1
Se = 0.8
Se = 0.5
True RR = 1.5
Se = 0.8
Se = 0.5
True RR = 2
Se = 0.8
Se = 0.5
True RR = 5
Se = 0.8
Se = 0.5
Exposure prevalence = 0.1 | Risk in unexposed = 0.10
True RR = 1
Se = 0.8
(Sp = 0.996 and Sp = 0.998 models not estimable)
Se = 0.5
(Sp = 0.992 model not estimable)
(Sp = 0.996 model not estimable)
True RR = 1.5
Se = 0.8
Se = 0.5
True RR = 2
Se = 0.8
(Sp = 0.998 model not estimable)
Se = 0.5
(Sp = 0.996 and Sp = 0.998 models not estimable)
True RR = 5
Se = 0.8
Se = 0.5
(Sp = 0.990 model not estimable)
Exposure prevalence = 0.5 | Risk in unexposed = 0.01
True RR = 1
Se = 0.8
Se = 0.5
True RR = 1.5
Se = 0.8
Se = 0.5
True RR = 2
Se = 0.8
Se = 0.5
True RR = 5
Se = 0.8
(Sp = 0.990, Sp = 0.992 models not estimable)
Se = 0.5
Exposure prevalence = 0.5 | Risk in unexposed = 0.10
True RR = 1
Se = 0.8
(Sp = 0.998 model not estimable)
Se = 0.5
(Sp = 0.998 model not estimable)
True RR = 1.5
Se = 0.8
Se = 0.5
True RR = 2
Se = 0.8
Se = 0.5
True RR = 5
Se = 0.8
Se = 0.5